Business Knowledge Series curso
This course introduces some methods commonly used in program evaluation and realworld effectiveness studies, including twostage modeling, interrupted timeseries, regression discontinuity, and propensity score matching. These methods help address questions such as: Which medicine is more effective in the real world? Did an advertising program have an impact on sales? More generally, are the changes in outcomes causally related to the program being run?
Aprenda a
 identify alternative techniques to propensity scorebased ones, including those that require different twostage setups (Heckman) and timeseries techniques
 apply quasiexperimental analysis methods to realworld data for the following techniques: propensity score matching, Heckman's twostage model, interrupted time series, and regression discontinuity.
A quién va dirigido
Data analysts, statisticians, and economists in the fields of finance, telecommunications, pharmaceuticals, and retail and in the public sector, who have an understanding of basic statistics and SAS programming. Those who work in areas of economics, program evaluation, and realworld effectiveness studies will find this course highly relevant.
Formatos disponibles  Duración   
elearning: 
14 horas/180 día licencia 

Before attending this course, you should have completed the following courses or have the equivalent working experience:
Prior study of multiple linear regression modeling is required.
Este curso utiliza Base SAS, SAS/ETS, SAS/STAT software.